Dahua Yu

16 total papers · 490 total citations
8 papers, 323 citations indexed

About

Dahua Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dahua Yu has authored 8 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dahua Yu's work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Dahua Yu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Dahua Yu collaborates with scholars based in China. Dahua Yu's co-authors include Yu Gu, Xiaoqi Lu, Ying Zhao, Baohua Zhang, Lidong Yang, Tao Zhou, Jiaqi Liu, Baohua Zhang, Guoguang Cheng and Wensheng Qiu and has published in prestigious journals such as PLoS ONE, Computers in Biology and Medicine and Metallurgical and Materials Transactions B.

In The Last Decade

Dahua Yu

7 papers receiving 310 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dahua Yu	260	196	92	44	34	8	323
Nannan Sun	257 1.0×	188 1.0×	111 1.2×	46 1.0×	24 0.7×	4	335
Antônio Carlos da Silva Barros	173 0.7×	81 0.4×	92 1.0×	124 2.8×	63 1.9×	12	344
Aaron Wu	192 0.7×	91 0.5×	101 1.1×	68 1.5×	26 0.8×	4	269
G. Ananth Prabhu	251 1.0×	107 0.5×	144 1.6×	61 1.4×	33 1.0×	9	334
Jason Causey	169 0.7×	119 0.6×	64 0.7×	14 0.3×	13 0.4×	13	251
Abhir Bhandary	242 0.9×	105 0.5×	135 1.5×	68 1.5×	26 0.8×	11	329
Xinpeng Xie	151 0.6×	66 0.3×	106 1.2×	51 1.2×	12 0.4×	10	270
Chaochun Liu	237 0.9×	197 1.0×	97 1.1×	28 0.6×	10 0.3×	4	315
Solon A. Peixoto	149 0.6×	77 0.4×	120 1.3×	65 1.5×	28 0.8×	15	355
Keizo Kanazawa	221 0.8×	201 1.0×	75 0.8×	47 1.1×	20 0.6×	7	282

Countries citing papers authored by Dahua Yu

Since Specialization

Citations

This map shows the geographic impact of Dahua Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dahua Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahua Yu more than expected).

Fields of papers citing papers by Dahua Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dahua Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dahua Yu. The network helps show where Dahua Yu may publish in the future.

Co-authorship network of co-authors of Dahua Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dahua Yu. A scholar is included among the top collaborators of Dahua Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dahua Yu. Dahua Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact